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Simulation of CONWIP Production Control Using R Simmer

Moses Gummadi

By the end of this project, you will learn gain introductiory knowledge of Discrete Event Simulation, use R Studio and Simmer library, create statistical variables required for simulation, define process trajectory, define and assign resources, define arrivals (eg. incoming customers / work units), run simulation in R, store results in data frames, plot charts and interpret the results.

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What's inside

Syllabus

Project Overview
Welcome to "Simulation of CONWIP Production Control Using R-Simmer". This is a project-based course which should take about 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure. By the end of this project, you will gain introductiory knowledge of CONWIP Production Control, Discrete Event Simulation, be able to use R Studio and Simmer library, create statistical variables required for simulation, define process trajectory, define and assign resources, define arrivals (eg. incoming customers / work units), run simulation in R, store results in data frames, plot charts and interpret the results.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops Discrete Event Simulation knowledge, which is standard in the industry
Teaches how to use R Studio and Simmer Library, which is commonly used in industry
Explores CONWIP Production Control, which is a widely-used technique in manufacturing
Taught by Moses Gummadi, who has expertise in simulation modeling
Offers hands-on labs and interactive materials, enhancing practical skills
Requires some background in statistics and simulation, which may limit accessibility for beginners

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Activities

Coming soon We're preparing activities for Simulation of CONWIP Production Control Using R Simmer . These are activities you can do either before, during, or after a course.

Career center

Learners who complete Simulation of CONWIP Production Control Using R Simmer will develop knowledge and skills that may be useful to these careers:
Simulation Engineer
Simulation Engineers develop and use computer simulations to analyze and improve complex systems. This course provides a solid foundation in simulation modeling and analysis, which are essential for Simulation Engineers. By learning to define process trajectories, assign resources, and run simulations in R, you can build realistic models to evaluate system performance, identify bottlenecks, and optimize system design.
Industrial Engineer
Industrial Engineers design, improve, and install integrated systems for managing industrial production and operations. This course offers a comprehensive overview of simulation and production control, which are fundamental concepts for Industrial Engineers. By gaining a thorough understanding of CONWIP Production Control and Discrete Event Simulation, you can develop and implement efficient manufacturing systems that meet customer demands while minimizing costs.
Process Engineer
Process Engineers design and improve processes to optimize efficiency and productivity. This course offers a practical introduction to simulation and process optimization techniques. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and implement efficient processes that minimize bottlenecks and maximize throughput, leading to improved process performance.
Operations Research Analyst
An Operations Research Analyst focuses on the design, development, and implementation of mathematical models to improve the efficiency of systems and processes. This course can provide a solid foundation in simulation and optimization techniques, which are essential for OR Analysts. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and analyze models to optimize manufacturing and production systems, leading to increased efficiency and cost savings.
Systems Analyst
Systems Analysts design, develop, and implement computer systems. This course provides a foundation in simulation and system analysis techniques, which are essential for Systems Analysts. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and evaluate system designs, identify potential bottlenecks, and optimize system performance, leading to more efficient and effective systems.
Operations Manager
Operations Managers plan, organize, and direct the operations of an organization. This course provides a foundation in simulation and production control techniques, which can be valuable for Operations Managers working on projects involving process optimization and resource management. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and evaluate simulations to identify bottlenecks, optimize resource allocation, and improve overall operational efficiency, leading to increased productivity and profitability.
Manufacturing Engineer
Manufacturing Engineers plan, design, and oversee production processes in manufacturing facilities. This course provides valuable insights into production control and simulation techniques used in manufacturing. By learning to simulate production systems and optimize resource allocation, you can improve production efficiency, reduce waste, and enhance overall manufacturing operations.
Data Scientist
Data Scientists use statistical and computational methods to extract insights from data. This course provides a practical introduction to simulation and data modeling, which are valuable skills for Data Scientists. By learning to create statistical variables, define process trajectories, and run simulations in R, you can build predictive models to support decision-making and solve real-world problems.
Data Analyst
Data Analysts collect, analyze, and interpret data to provide insights for decision-making. This course offers a practical introduction to simulation and data modeling, which can be valuable for Data Analysts working on projects involving system optimization and resource allocation. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop simulations to test different scenarios, evaluate potential solutions, and optimize resource allocation, leading to better data-driven decisions.
Supply Chain Manager
Supply Chain Managers plan, organize, and control the flow of goods and services from suppliers to customers. This course provides a foundation in simulation and supply chain management techniques, which can be valuable for Supply Chain Managers working on projects involving logistics and resource optimization. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and evaluate simulations to optimize inventory levels, reduce lead times, and improve overall supply chain performance, leading to increased customer satisfaction and profitability.
Management Consultant
Management Consultants advise organizations on how to improve their performance. This course provides a foundation in simulation and business process optimization techniques, which can be valuable for Management Consultants working on projects involving operational efficiency and resource management. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and evaluate simulations to identify bottlenecks, optimize resource allocation, and improve overall business performance.
Project Manager
Project Managers plan, execute, and manage projects to achieve specific goals. This course offers a practical introduction to simulation and project planning techniques, which can be valuable for Project Managers working on projects involving resource allocation and scheduling. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and evaluate simulations to optimize project schedules, identify potential risks, and allocate resources effectively, leading to more successful project outcomes.
Business Analyst
Business Analysts analyze business processes and systems to identify areas for improvement. This course offers a practical introduction to simulation and business process optimization techniques, which can be valuable for Business Analysts working on projects involving operational efficiency and data analysis. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and evaluate simulations to identify bottlenecks, optimize resource allocation, and improve overall business performance, leading to informed decision-making and better outcomes.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course offers a practical introduction to simulation and modeling techniques, which can be valuable for Software Engineers working on system development and optimization projects. By understanding CONWIP Production Control and Discrete Event Simulation, you can create simulations to test software performance, identify potential issues, and optimize software design, leading to more efficient and reliable software systems.
Financial Analyst
Financial Analysts evaluate and make recommendations on investment opportunities. This course may be helpful for Financial Analysts who are interested in using simulation techniques to model and analyze financial data. By understanding CONWIP Production Control and Discrete Event Simulation, you can develop and evaluate simulations to test investment strategies, evaluate risk, and make more informed financial decisions, potentially leading to improved investment performance.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Simulation of CONWIP Production Control Using R Simmer .
The Little Book of R for Simulation provides a guide to using R for simulation. It valuable resource for anyone who wants to learn more about simulation using R.
The R Cookbook provides a collection of recipes for solving common tasks in R. It can be a valuable resource for anyone who wants to learn more about R. Additionally, R Cookbook has a specific chapter on simulation which will be particularly useful for anyone taking this course.
Provides a detailed overview of Arena simulation software and how to use it to model and analyze real-world systems. It valuable resource for anyone who wants to learn more about Arena.
Provides a comprehensive overview of stochastic modeling and simulation. It valuable resource for anyone who wants to learn more about simulation.
Provides a comprehensive overview of business process modeling, simulation, and design.
Provides a comprehensive overview of queuing theory. It valuable resource for anyone who wants to learn more about simulation.
Provides a detailed overview of discrete event simulation and valuable resource for anyone who wants to learn more about simulation.

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